VOCAB: Hypothesis- an explanation that was made based off of evidence that can be used to investigate further in your procedure. Data gathering- gathering data for you hypothesis or topic you are researching for Multiple trials- you should text your trials of the experiment multiple times before you make your conclusion Variance- the quality of being different Average- the central or typical value of any set of data Median- the middle object of all of the objects, just like on a highway Mode- the most often of a specific thing OR the way something is done Histogram- a diagram that uses rectangles to show the difference of variables and objects you are comparing Pie chart- a circle graph that is used to show the comparison of one another. Some uses percent’s Inference- a conclusion that was made from previous evidence in your procedures
Pre-lab
1. Obtain a bag of M&M's. What do we want to know about this bag of M&M's? (Write all the possible questions you can think of.) Include the possible answers to the questions (these are known as hypotheses). Which color of m&m is most often in each bag? How many M&Ms are there of each color?
2. How can we find the actual answers to the questions? Give all possible ways to answer the questions. This leads to data collection. To answer the question above, you can open a couple of bags of M&Ms and count all the colors. Whichever color has the most M&Ms in your bag is your answer to your hypotheses.
Lab
1. Find a partner to work with.
2. Get 1 bag of M&M's per group.
3. Decide on one question you would like to answer about your bag of M&M's. Write it down. (Do not open your bag.) Your question: Which color of M&Ms is most common in each bag?
4. Guess what the answer to your question might be (hypothesize). What is your hypothesis? (Do not open the bag.) Your hypothesis: My hypothesis is that blue is the most common color in each bag.
5. Open your bags of M&M’s and answer your questions (data collection/experimentation).
The most common color is blue and orange, and there are 12 of both. Therefore, my hypothesis is incorrect. Also, there are different amounts of each color. The variety can vary with how many there are of each color in each bag.
6. Also, be sure to count the total number of M&M's in your bag and the number of each color M&M in your bag. There are 56 M&Ms in all. There are 12 blue, 10 red, 8 yellow, 10 green, 4 brown, and 12 orange.
7. Obtain the data from two other groups.
Data:
Number of color
1
2
3
Total number of M&M's in bag
56
53
58
Number of red in bag
10
6
7
Number of green in bag
10
10
8
Number of brown in bag
4
10
8
Number of blue in bag
12
8
9
Number of yellow in bag
8
5
9
Number of orange in bag
12
14
17
Data analysis:
1. Looking at the numbers in the data table, are the numbers of total M&M's and the numbers of certain colors of M&M's the same in every bag? There is not the same amount of M&Ms in every bag. There are also not the same amount of each color in every bag has a different amount of colors and M&Ms in the data above.
2. From our data, what would be an accurate way to determine the number of M&M's in a random bag I pick up at the grocery store? Use the following terms in your answer: Variance, Average, Median, Mode, Histogram, Pie chart, and Inference.
Average: about 55.6 M&M's in each bag
Median: 56
Mode: none
| @The Pine Riders | M&M LabThe Pine Riders
Chelsea S.Mady P.
Maci R.
Kally G.
M&M Lab
VOCAB:
Hypothesis- an explanation that was made based off of evidence that can be used to investigate further in your procedure.
Data gathering- gathering data for you hypothesis or topic you are researching for
Multiple trials- you should text your trials of the experiment multiple times before you make your conclusion
Variance- the quality of being different
Average- the central or typical value of any set of data
Median- the middle object of all of the objects, just like on a highway
Mode- the most often of a specific thing OR the way something is done
Histogram- a diagram that uses rectangles to show the difference of variables and objects you are comparing
Pie chart- a circle graph that is used to show the comparison of one another. Some uses percent’s
Inference- a conclusion that was made from previous evidence in your procedures
Pre-lab
1. Obtain a bag of M&M's. What do we want to know about this bag of M&M's? (Write all the possible questions you can think of.) Include the possible answers to the questions (these are known as hypotheses). Which color of m&m is most often in each bag? How many M&Ms are there of each color?
2. How can we find the actual answers to the questions? Give all possible ways to answer the questions. This leads to data collection. To answer the question above, you can open a couple of bags of M&Ms and count all the colors. Whichever color has the most M&Ms in your bag is your answer to your hypotheses.
Lab
1. Find a partner to work with.
2. Get 1 bag of M&M's per group.
3. Decide on one question you would like to answer about your bag of M&M's. Write it down. (Do not open your bag.) Your question: Which color of M&Ms is most common in each bag?
4. Guess what the answer to your question might be (hypothesize). What is your hypothesis? (Do not open the bag.) Your hypothesis: My hypothesis is that blue is the most common color in each bag.
5. Open your bags of M&M’s and answer your questions (data collection/experimentation).
The most common color is blue and orange, and there are 12 of both. Therefore, my hypothesis is incorrect. Also, there are different amounts of each color. The variety can vary with how many there are of each color in each bag.
6. Also, be sure to count the total number of M&M's in your bag and the number of each color M&M in your bag. There are 56 M&Ms in all. There are 12 blue, 10 red, 8 yellow, 10 green, 4 brown, and 12 orange.
7. Obtain the data from two other groups.
Data:
Data analysis:
1. Looking at the numbers in the data table, are the numbers of total M&M's and the numbers of certain colors of M&M's the same in every bag? There is not the same amount of M&Ms in every bag. There are also not the same amount of each color in every bag has a different amount of colors and M&Ms in the data above.
2. From our data, what would be an accurate way to determine the number of M&M's in a random bag I pick up at the grocery store? Use the following terms in your answer: Variance, Average, Median, Mode, Histogram, Pie chart, and Inference.
Average: about 55.6 M&M's in each bag
Median: 56
Mode: none